TY  - JOUR
A1  - Topçu, Murat
A1  - Madabhushi, Gopal S.P.
A1  - Staat, Manfred
T1  - A generalized shear-lag theory for elastic stress transfer between matrix and fibres having a variable radius
JF  - International Journal of Solids and Structures
N2  - A generalized shear-lag theory for fibres with variable radius is developed to analyse elastic fibre/matrix stress transfer. The theory accounts for the reinforcement of biological composites, such as soft tissue and bone tissue, as well as for the reinforcement of technical composite materials, such as fibre-reinforced polymers (FRP). The original shear-lag theory proposed by Cox in 1952 is generalized for fibres with variable radius and with symmetric and asymmetric ends. Analytical solutions are derived for the distribution of axial and interfacial shear stress in cylindrical and elliptical fibres, as well as conical and paraboloidal fibres with asymmetric ends. Additionally, the distribution of axial and interfacial shear stress for conical and paraboloidal fibres with symmetric ends are numerically predicted. The results are compared with solutions from axisymmetric finite element models. A parameter study is performed, to investigate the suitability of alternative fibre geometries for use in FRP.
KW  - Natural fibres
KW  - Polymer-matrix composites
KW  - Biocomposites
KW  - Stress concentrations
KW  - Finite element analysis
Y1  - 2022
U6  - http://dx.doi.org/10.1016/j.ijsolstr.2022.111464
SN  - 0020-7683
VL  - 239–240
IS  - Art. No. 111464
PB  - Elsevier
CY  - New York, NY
ER  - 
TY  - JOUR
A1  - Werfel, Stanislas
A1  - Günthner, Roman
A1  - Hapfelmeier, Alexander
A1  - Hanssen, Henner
A1  - Kotliar, Konstantin
A1  - Heemann, Uwe
A1  - Schmaderer, Christoph
ED  - Guzik, Tomasz J.
T1  - Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning
JF  - Cardiovascular Research
N2  - Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine learning on DVA in order to improve CV mortality prediction and identify corresponding response alterations.
KW  - Machine learning
KW  - Retinal vessels
KW  - Microcirculation
KW  - Haemodialysis
KW  - Myocardial infarction and cardiac death
Y1  - 2022
U6  - http://dx.doi.org/10.1093/cvr/cvab040
SN  - 0008-6363
VL  - 118
IS  - 2
SP  - 612
EP  - 621
PB  - Oxford University Press
CY  - Oxford
ER  - 
TY  - CHAP
A1  - Akimbekov, Nuraly S.
A1  - Digel, Ilya
A1  - Razzaque, Mohammed S.
T1  - Role of vitamins in maintaining structure and function of intestinal microbiome
T2  - Comprehensive Gut Microbiota
N2  - The recent advances in microbiology have shed light on understanding the role of vitamins beyond the nutritional range. Vitamins are critical in contributing to healthy biodiversity and maintaining the proper function of gut microbiota. The sharing of vitamins among bacterial populations promotes stability in community composition and diversity; however, this balance becomes disturbed in various pathologies. Here, we overview and analyze the ability of different vitamins to selectively and specifically induce changes in the intestinal microbial community. Some schemes and regularities become visible, which may provide new insights and avenues for therapeutic management and functional optimization of the gut microbiota.
KW  - Vitamin A
KW  - Vitamin B
KW  - Thiamine
KW  - Riboflavin
KW  - Niacin
Y1  - 2022
SN  - 978-0-12-822036-8
U6  - http://dx.doi.org/10.1016/B978-0-12-819265-8.00043-7
SP  - 320
EP  - 334
PB  - Elsevier
CY  - Amsterdam
ER  -